Starbucks (SBUX) Shares Outstanding (Diluted) (2009 - 2026)
Starbucks (SBUX) posted Shares Outstanding (Diluted) of 1.14 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 0.4% from 1.14 billion a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Starbucks (SBUX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Since fiscal Q2 2009, Starbucks has reported Shares Outstanding (Diluted) for 70 quarters.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior fiscal years, Starbucks' Shares Outstanding (Diluted) was 1.14 billion in FY2024 (-1.2%), 1.15 billion in FY2023 (-0.6%), 1.16 billion in FY2022 (-2.3%) and 1.19 billion in FY2021 (+0.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since fiscal Q4 2023.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last six quarters, with growth averaging 0.1% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q2 2025, with growth of 0.4%; the weakest was fiscal Q3 2022, with a decline of 3.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 1.14 billion (Q2 2026), 1.14 billion (Q1 2026) and 1.14 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 277.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 65.92 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 321.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.14 Bn |
| Mar 29, 2026 | 1.14 Bn |
| Dec 28, 2025 | 1.14 Bn |
| Sep 28, 2025 | 1.14 Bn |
| Jun 29, 2025 | 1.14 Bn |
| Mar 30, 2025 | 1.14 Bn |
| Dec 29, 2024 | 1.14 Bn |
| Sep 29, 2024 | 1.14 Bn |
| Jun 30, 2024 | 1.14 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Oct 1, 2023 | 1.15 Bn |
| Jul 2, 2023 | 1.15 Bn |
| Apr 2, 2023 | 1.15 Bn |
| Jan 1, 2023 | 1.15 Bn |
| Oct 2, 2022 | 1.16 Bn |
| Jul 3, 2022 | 1.15 Bn |
| Apr 3, 2022 | 1.15 Bn |
| Jan 2, 2022 | 1.18 Bn |
| Oct 3, 2021 | 1.19 Bn |
API Access
Starbucks Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SBUX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();